Broadband angular spectrum differentiation using dielectric metasurfaces

Ming Deng, Michele Cotrufo, Jian Wang, Jianji Dong, Zhichao Ruan, Andrea Alù () and Lin Chen ()
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Ming Deng: Huazhong University of Science and Technology
Michele Cotrufo: City University of New York
Jian Wang: Huazhong University of Science and Technology
Jianji Dong: Huazhong University of Science and Technology
Zhichao Ruan: Zhejiang University
Andrea Alù: City University of New York
Lin Chen: Huazhong University of Science and Technology

Nature Communications, 2024, vol. 15, issue 1, 1-10

Abstract: Abstract Signal processing is of critical importance for various science and technology fields. Analog optical processing can provide an effective solution to perform large-scale and real-time data processing, superior to its digital counterparts, which have the disadvantages of low operation speed and large energy consumption. As an important branch of modern optics, Fourier optics exhibits great potential for analog optical image processing, for instance for edge detection. While these operations have been commonly explored to manipulate the spatial content of an image, mathematical operations that act directly over the angular spectrum of an image have not been pursued. Here, we demonstrate manipulation of the angular spectrum of an image, and in particular its differentiation, using dielectric metasurfaces operating across the whole visible spectrum. We experimentally show that this technique can be used to enhance desired portions of the angular spectrum of an image. Our approach can be extended to develop more general angular spectrum analog meta-processors, and may open opportunities for optical analog data processing and biological imaging.

Date: 2024
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DOI: 10.1038/s41467-024-46537-9

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